AI & LLM studio
We build AI products that organizations can trust — and run on their own infrastructure.
From language-model assistants and document intelligence to mobile apps and enterprise integrations. We take AI from idea to something your teams use every day.
- Runs on your infrastructure
- Answers you can trace
- Built for production, not demos
What we do
Four ways we put language models to work.
Every engagement starts with a real problem in your organization — not with a model. We pick the technology that fits, then build it properly.
- 01
LLM product development
Assistants, retrieval systems and agents built around your data. We handle the full path: retrieval quality, evaluation, guardrails and the interface your users actually touch.
RAGAgentsEvaluation - 02
Enterprise AI on your infrastructure
For organizations that cannot send data outside. We deploy the whole stack — models, vector database, application — inside your own network, with access control and audit trails.
On-premisePrivate cloudCompliance - 03
Mobile & web applications
AI-powered products end to end: interface, backend, model layer and release. Built to ship, with the operating cost of the model layer designed in from the start.
iOS & AndroidWebAPI - 04
Integration & advisory
Connecting AI to the systems you already run — internal portals, chat platforms, automation pipelines. Or a short engagement to find out what is worth building at all.
IntegrationArchitectureReview
How we work
Short cycles, working software at every step.
AI projects fail when they stay demos. We work in a way that puts something real in front of your users early, then hardens it.
- 01
Frame the problem
A focused session on the actual workflow, the data behind it and what a good answer looks like. We leave with a scope and a way to measure it.
- 02
Build a working prototype
A prototype on your own documents and your own cases — not a generic demo. This is where we find out whether the approach holds.
- 03
Take it to production
Access control, audit trail, monitoring, deployment on your infrastructure, and a handover your own team can carry forward.
Work
What we have built.
A selection of the kinds of systems we deliver. Client names are shared on request.
- Enterprise platform
Document intelligence for a regulated industry
A private assistant over tens of thousands of internal pages — contracts, procedures, reports. Answers cite the exact document and page, scanned archives are read with OCR, and the entire stack runs inside the institution's own data center.
On-premiseOCRSource citationsAccess control - Platform
Our own assistant platform
Our own product: an admin panel for documents, API keys and models, an embeddable chat widget that drops into a customer site with one line of script, and a REST API that plugs into existing systems.
Admin panelEmbeddable widgetREST API - Mobile application
A consumer AI mobile app
A published mobile product with a language and vision model at its core, running through our own model gateway — including the cost and rate controls that keep a consumer AI app viable.
iOS & AndroidVision modelModel gateway
Contact
Tell us what you are trying to solve.
A short conversation is usually enough to tell whether there is a project here. If there is not, we will say so.